Tech Reports
Tech Report kmi-96-12 Abstract
Negotiating the Construction of Organisational Memory Using Hypermedia Argument Spaces
Techreport ID: kmi-96-12
Date: 1996
Author(s): Simon Buckingham Shum
This paper describes an approach to capturing organisational memory in which teams use a hypermedia tool to analyse and discuss complex problems. Graphical argument spaces are constructed as competing ideas are debated. Firstly this supports the processes of discussion and negotiation which are central to knowledge work, typically as problems are defined, project constraints shift, and teams reconcile competing agendas. Graphical argumentation provides a shared working memory in meetings by focusing discussion. Secondly, the product of using such a tool to conduct discussions is a shared long term memory of the intellectual investment, thus resisting 'organisational amnesia.' Hypermedia groupware provides a way to link informal, socially embedded knowledge with other work artifacts such as reports, sketches and simulations. Examples of this approach's application are surveyed, followed by consideration of the cognitive, group and organisational dynamics that can support, or obstruct such an approach. The concluding discussion seeks to situate this approach in relation to others, by proposing four questions that an approach should seek to answer. These questions seek to clarify the interdependencies between economics, technologies, work practices, and the power and responsibility that controlling knowledge repositories brings.
Publication(s):
Workshop on Knowledge Media for Improving Organisational Expertise, 1st International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 30-31 October 1996.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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